A new Cell App can diagnose Malaria

Texas A&M University biomedical engineers are currently working on this technology which can diagnose malaria in a Rwandan village.

Biomedical engineers are developing a new technology that will transform a cell phone into a mobile polarized microscope which can diagnose malaria with the same level of accuracy as a hi-tech lab provides for diagnostic.

Once the device is attached to the phone, the diagnosis takes just minutes using a phone app. Texas A&M University biomedical engineers are currently working on this technology which can diagnose malaria in a Rwandan village.

According to the World Health Organization, malaria is one of the fatal diseases in Sub Saharan Africa. In 2015, there have been around 214 million cases of malaria globally so far, approximately 438,000 of which were fatal – with 90 percent of those deaths occurring in Sub Saharan Africa.

The add-on device, known as a mobile-optical-polarization imaging device (MOPID), makes use of a smart phone’s camera features to produce high-resolution images of objects 10 times smaller than the thickness of a human hair. The device images a blood sample using polarized light that can detect a malaria parasite byproduct called Hemozoin crystals which appear as very bright dots in the image and are an accurate indicator of infection.

Smartphones are widely available in Africa and the cost of the add-on optics will be less than $50 (USD) with the disposable blood sampling cartridges priced at less than a dollar.

Gerard Cote, a professor of Biomedical Engineering stated the way they diagnose malaria now is with a microscope but it is with a big bench top microscope that is relatively complicated to use, takes a trained technician, and you have to have the facility for that scope in a centralized lab somewhere.

“So basically what we are taking is that gold standard and making it into a portable device,” he said.

“An application software would take that image and automatically count the number of red blood cells, count the number of parasites over different fields of view. And then by doing that you can determine if they have malaria or not,” Cote said.

It’s those stark statistics which inspired the team to keep the device as affordable as possible, to ensure it could be used where it’s needed most.